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Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.APPROX-RANDOM.2014.325
URN: urn:nbn:de:0030-drops-47062
URL: https://drops.dagstuhl.de/opus/volltexte/2014/4706/
Li, Shanfei
An Improved Approximation Algorithm for the Hard Uniform Capacitated k-median Problem
Abstract
In the k-median problem, given a set of locations, the goal is to select a subset of at most k centers so as to minimize the total cost of connecting each location to its nearest center. We study the uniform hard capacitated version of the k-median problem, in which each selected center can only serve a limited number of locations.
Inspired by the algorithm of Charikar, Guha, Tardos and Shmoys,
we give an improved approximation algorithm for this problem with increasing the capacities by a constant factor, which improves the previous best approximation algorithm proposed by Byrka, Fleszar, Rybicki and Spoerhase.
BibTeX - Entry
@InProceedings{li:LIPIcs:2014:4706,
author = {Shanfei Li},
title = {{An Improved Approximation Algorithm for the Hard Uniform Capacitated k-median Problem}},
booktitle = {Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2014)},
pages = {325--338},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-939897-74-3},
ISSN = {1868-8969},
year = {2014},
volume = {28},
editor = {Klaus Jansen and Jos{\'e} D. P. Rolim and Nikhil R. Devanur and Cristopher Moore},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2014/4706},
URN = {urn:nbn:de:0030-drops-47062},
doi = {10.4230/LIPIcs.APPROX-RANDOM.2014.325},
annote = {Keywords: Approximation algorithm; k-median problem; LP-rounding; Hard capacities}
}
Keywords: |
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Approximation algorithm; k-median problem; LP-rounding; Hard capacities |
Collection: |
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Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2014) |
Issue Date: |
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2014 |
Date of publication: |
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04.09.2014 |